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  <time class="dt-published" datetime="2021-04-28T08:28:37.953Z" itemprop="datePublished">2021-04-28</time>
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        <h3 id="LinkedList-说明"><a href="#LinkedList-说明" class="headerlink" title="LinkedList  说明"></a>LinkedList  说明</h3><h4 id="链表的存储结构"><a href="#链表的存储结构" class="headerlink" title="链表的存储结构"></a>链表的存储结构</h4><p>​     存储方法以<strong>节点</strong>方式存储    本质上 一个链表一个节点 一个节点内包含下一个节点</p>
<h5 id="单链表的存储结构"><a href="#单链表的存储结构" class="headerlink" title="单链表的存储结构"></a>单链表的存储结构</h5><p>拥有后一个<strong>节点</strong>的指针    实现方式：每个节点拥有一个此<strong>节点</strong>的 下一个节点元素</p>
<h5 id="双链表的存储结构"><a href="#双链表的存储结构" class="headerlink" title="双链表的存储结构"></a>双链表的存储结构</h5><p>双链表 在单链表的存储结构上 增加了上一个<strong>节点</strong>的指针   实现方式：每个节点拥有一个此<strong>节点</strong>的 下一个节点元素   和 上一个节点元素</p>
<h6 id="LinkedList-双链表的存储结构"><a href="#LinkedList-双链表的存储结构" class="headerlink" title="LinkedList  双链表的存储结构"></a>LinkedList  双链表的存储结构</h6><ol>
<li>继承AbstractSequentialList抽象类     实现List 接口  </li>
<li>支持泛型  在Node 参数上增加一个 元素变量</li>
<li> 大部分重写了  AbstractSequentialList抽象类  和List 接口   (使用迭代器迭代元素 没有重写)</li>
<li>节点类 是一个LinkedList的内部类</li>
<li> 为什么LinkedList   增删快  因为链表存储结构是不连续(上一个节点指向下一个节点就可以了)而 ArrayList则是一块连续的内存块 增加和删除 都需要移动后面的元素位置</li>
<li>为什么LinkedList   随机访问元素的 底层代码会根据下标&gt;&gt;左移一位 即/2进行判断 是离开头近还是离结尾进 来进行遍历判断(使用二分法进行遍历)     </li>
<li>LinkedList    随机访问元素代码</li>
</ol>
<figure class="highlight java"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br></pre></td><td class="code"><pre><span class="line"> <span class="function"><span class="keyword">public</span> E <span class="title">get</span><span class="params">(<span class="keyword">int</span> index)</span> </span>&#123;</span><br><span class="line">                  checkElementIndex(index);</span><br><span class="line">                  <span class="keyword">return</span> node(index).item;</span><br><span class="line">        &#125;</span><br><span class="line"></span><br><span class="line">  <span class="function">Node&lt;E&gt; <span class="title">node</span><span class="params">(<span class="keyword">int</span> index)</span> </span>&#123;</span><br><span class="line">        <span class="comment">// assert isElementIndex(index);</span></span><br><span class="line"></span><br><span class="line">      <span class="comment">//从链表的前段开始查找 </span></span><br><span class="line"></span><br><span class="line">      <span class="keyword">if</span> (index &lt; (size &gt;&gt; <span class="number">1</span>)) &#123;   <span class="comment">//传入进来的索引的大小，与集合尺寸 size/2的结果进行比较。判断要查找的元素距离首末两端的                                                  //距离</span></span><br><span class="line">            Node&lt;E&gt; x = first;</span><br><span class="line">            <span class="keyword">for</span> (<span class="keyword">int</span> i = <span class="number">0</span>; i &lt; index; i++)</span><br><span class="line">                x = x.next;              <span class="comment">//由于是链表数据结构，所以是不停的进行迭代查找下一个元素，这就是慢的原因</span></span><br><span class="line">            <span class="keyword">return</span> x;</span><br><span class="line"></span><br><span class="line"><span class="comment">//从链表的后面开始查找</span></span><br><span class="line">        &#125; <span class="keyword">else</span> &#123;  </span><br><span class="line">            Node&lt;E&gt; x = last;</span><br><span class="line">            <span class="keyword">for</span> (<span class="keyword">int</span> i = size - <span class="number">1</span>; i &gt; index; i--)</span><br><span class="line">                x = x.prev;</span><br><span class="line">            <span class="keyword">return</span> x;</span><br><span class="line">        &#125;</span><br><span class="line">    &#125;</span><br></pre></td></tr></table></figure>

<p>ArrayList  的 随机访问元素代码  本质上是数组 随机访问元素   数组[下标]的方式访问</p>

      
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        <p>Welcome to <a target="_blank" rel="noopener" href="https://hexo.io/">Hexo</a>! This is your very first post. Check <a target="_blank" rel="noopener" href="https://hexo.io/docs/">documentation</a> for more info. If you get any problems when using Hexo, you can find the answer in <a target="_blank" rel="noopener" href="https://hexo.io/docs/troubleshooting.html">troubleshooting</a> or you can ask me on <a target="_blank" rel="noopener" href="https://github.com/hexojs/hexo/issues">GitHub</a>.</p>
<h2 id="Quick-Start"><a href="#Quick-Start" class="headerlink" title="Quick Start"></a>Quick Start</h2><h3 id="Create-a-new-post"><a href="#Create-a-new-post" class="headerlink" title="Create a new post"></a>Create a new post</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">$ hexo new <span class="string">&quot;My New Post&quot;</span></span><br></pre></td></tr></table></figure>

<p>More info: <a target="_blank" rel="noopener" href="https://hexo.io/docs/writing.html">Writing</a></p>
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<p>More info: <a target="_blank" rel="noopener" href="https://hexo.io/docs/generating.html">Generating</a></p>
<h3 id="Deploy-to-remote-sites"><a href="#Deploy-to-remote-sites" class="headerlink" title="Deploy to remote sites"></a>Deploy to remote sites</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">$ hexo deploy</span><br></pre></td></tr></table></figure>

<p>More info: <a target="_blank" rel="noopener" href="https://hexo.io/docs/one-command-deployment.html">Deployment</a></p>

      
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